AI/ML News & Innovations Hub

AI/ML news, top picks, and generated innovation digests.

★ Visit ai-karthik.com
422Sources
5100News Items
8Top Picks
43Blogs
runningLast Run

Cybersecurity AI

13 articles tagged with this keyword, sorted by most recent first.

← All Keywords
The Decoder 2026-06-28 09:30 UTC Score 47.0 AI-168-20260628-regional-ai--25626d95

Chinese cybersecurity firm builds AI tools to rival Mythos and frames the race as cyber-nuclear deterrence

360 founder Zhou Hongyi presents two AI security tools designed to compete with Anthropic's Mythos. One has already flagged 3,432 vulnerabilities. Zhou admits Chinese models trail Western ones by 20 to 30 percent, but compares Mythos to "cyber nuclear weapons" and calls for China to build its own strategic deterrent. The article Chinese cybersecurity firm builds AI tools to rival Mythos and frames the race as cyber-nuclear deterrence appeared first on The Decoder .

InfoWorld AI 2026-06-25 16:31 UTC Score 46.0 USR-0126-20260625-global-ai-ne-362bd1c3

Agentic AI security steals the spotlight at Confidential Computing Summit

For a decade, confidential computing has been chipping away at one of security’s hardest problems: data is well encrypted in transit and at rest, but when a processor works on it, that data sits in memory in the clear, exposed to anyone with privileged host access. “Confidential computing’s aim was to solve this with a trusted execution environment, a subset of the CPU that runs the encrypted workload and handles things like memory encryption,” said Marina Moore , lead security researcher at Edera . For years the field felt like post-quantum cryptography PhD research scientist types agreeing the work is essential, while waiting for it to reach mainstream practitioners. At the Confidential Computing Summit in San Francisco this week, the breakout use case came into focus: agentic AI. Like the web before HTTPS “I was in the really early days of HTTP, and then HTTPS came along pretty quickly,” said Mike Bursell , executive director of the Confidential Computing Consortium . He sees agentic AI where the web sat before certificate authorities and public key infrastructure brokered trust online. “The original agent specifications were not written by security architects,” Bursell said, and “some of it feels in need of refinement.” The gap confidential computing fills is attestation, which provides proof of what runs. The hardware hashes the memory and firmware of a protected execution environment and signs the result inside the chip, Bursell explained, producing a measurement a ver…

TWIML AI Podcast 2026-06-16 22:10 UTC Score 51.0 AI-148-20260616-podcasts-and-8979913e

Why AI Agents Break the GenAI Security Model with Devvret Rishi - #770

In this episode, Sam talks with Dev Rishi, GM of AI at Rubrik, about what happens when agents move beyond answering questions and start taking action across tools, systems, and business processes. We explore why the enterprise playbook of static guardrails plus human approval starts to break down in the agent era. Agents are useful because they can plan, call tools, update systems, write code, send messages, and operate across workflows at machine speed, but those same capabilities make them difficult to govern with rules written in advance or approval prompts reviewed one at a time. Dev explains why tool access increases blast radius, why agents can route around controls in surprising ways, and why human-in-the-loop review can become security theater when agents operate at scale. We also discuss what enterprises need instead: better visibility, runtime enforcement, policy-aware governance, agent observability, and recovery mechanisms for when something goes wrong. Along the way, we dig into MCP and tool sprawl, small language models for policy enforcement, defense in depth, agent rewind, and why AI may be needed to help secure AI. 🗒️ Full show notes: https://twimlai.com/go/770.

Cornell AI Initiative 2026-06-10 19:06 UTC Score 44.0 USR-0014-20260610-research-aca-52e44e44

Amazon partnership establishes Cornell AI security initiative

Cornell computer scientists will lead the development of safety protocols to shore up AI agents and the code they produce. The post Amazon partnership establishes Cornell AI security initiative appeared first on Cornell AI Initiative .

AI Weekly 2026-05-27 00:00 UTC Score 40.0 AI-133-20260527-newsletters-3a7abad9

AI Weekly Issue #496: Anthropic's Pentagon model is now everyone's model

Anthropic released Mythos to the public, collapsing the wall between cleared-contractor frontier AI and developer-grade frontier AI in a single press release. DeepMind's Demis Hassabis moved his AGI timeline from "five to ten years" to "a real possibility by 2029" and tied it explicitly to AlphaProof Nexus solving nine open Erdős problems for the cost of a steak dinner. Critical zero-days hit Starlette (a million AI agents on the wire) and CrowdStrike led a coordinated takedown of the Glassworm developer botnet across four C2 channels. BNP Paribas formalized a sovereign-AI security partnership with Mistral while Beijing froze overseas travel for top AI engineers at Alibaba and DeepSeek. And the AI-displaces-workforce arithmetic got honest: Uber burned its full-year AI token budget by April, ClickUp restructured to 1,000 humans alongside 3,000 internal agents, and Sam Altman publicly reversed his white-collar-apocalypse prediction.

OpenMined Blog 2026-05-22 08:00 UTC Score 27.0 USR-0156-20260522-ai-specialis-c4483899

Moving Fast Doesn’t Have to Break Things: The U.S. Must Stop Compromising Critical Infrastructure with Patchwork AI Security Approaches

PETs offer U.S. critical-infrastructure AI a path beyond patchwork security. Why Attribution-Based Control should be the standard. The post Moving Fast Doesn’t Have to Break Things: The U.S. Must Stop Compromising Critical Infrastructure with Patchwork AI Security Approaches appeared first on OpenMined .

ClearML Blog 2026-05-20 18:30 UTC Score 35.0 USR-0084-20260520-ai-specialis-0c136fc1

Enterprise AI Security with ClearML: A Complete Series Summary

By Adam Wolf & Damian Erangey Over a seven-part series of posts and videos, ClearML’s Enterprise AI Security series covered every layer of securing an AI platform in production, from who gets in to what gets recorded. This post brings it all together in one place: what each layer does, why it matters, and how […]